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Related Experiment Video

Updated: Mar 31, 2026

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A novel artificial fish swarm algorithm for solving large-scale reliability-redundancy application problem.

Qiang He1, Xiangtao Hu2, Hong Ren1

  • 1Urban Construction and Environmental Engineering, Chongqing University, Chongqing 400044, China.

ISA Transactions
|October 18, 2015
PubMed
Summary
This summary is machine-generated.

A new artificial fish swarm algorithm (NAFSA) effectively solves large-scale reliability-redundancy allocation problems. This novel approach demonstrates strong computational accuracy and efficiency for complex reliability engineering tasks.

Keywords:
Artificial fish swarm algorithmCloud modelGAReliability–redundancy allocation problem

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Area of Science:

  • Engineering
  • Computer Science
  • Artificial Intelligence

Background:

  • The reliability-redundancy allocation problem (RAP) is critical for ensuring system dependability.
  • Large-scale RAPs present significant computational challenges.
  • Existing algorithms may struggle with the complexity and scale of modern reliability problems.

Purpose of the Study:

  • To introduce a novel artificial fish swarm algorithm (NAFSA) for addressing large-scale reliability-redundancy allocation problems.
  • To enhance the efficiency and accuracy of solving complex RAP instances.
  • To provide a robust computational tool for reliability engineering.

Main Methods:

  • Developed a novel artificial fish swarm algorithm (NAFSA).
  • Incorporated foraging, reproductive, and random behaviors inspired by fish swarms.
  • Utilized two position-updating strategies for foraging, selection and crossover operators for reproduction, and a basic cloud generator as a mutation operator for random behavior.

Main Results:

  • NAFSA was tested on four benchmark problems and a large-scale RAP.
  • The algorithm demonstrated competitive performance compared to existing methods.
  • NAFSA achieved good results in terms of computational accuracy and efficiency.

Conclusions:

  • The proposed NAFSA is a viable and effective method for solving large-scale reliability-redundancy allocation problems.
  • NAFSA offers a promising alternative for complex reliability optimization tasks.
  • The algorithm's performance highlights its potential for practical applications in reliability engineering.